Literature DB >> 12662930

Prediction of catalytic residues in enzymes based on known tertiary structure, stability profile, and sequence conservation.

Motonori Ota1, Kengo Kinoshita, Ken Nishikawa.   

Abstract

The catalytic or functionally important residues of a protein are known to exist in evolutionarily constrained regions. However, the patterns of residue conservation alone are sometimes not very informative, depending on the homologous sequences available for a given query protein. Here, we present an integrated method to locate the catalytic residues in an enzyme from its sequence and structure. Mutations of functional residues usually decrease the activity, but concurrently often increase stability. Also, catalytic residues tend to occupy partially buried sites in holes or clefts on the molecular surface. After confirming these general tendencies by carrying out statistical analyses on 49 representative enzymes, these data together with amino acid conservation were evaluated. This novel method exhibited better sensitivity in the prediction accuracy than traditional methods that consider only the residue conservation. We applied it to some so-called "hypothetical" proteins, with known structures but undefined functions. The relationships among the catalytic, conserved, and destabilizing residues in enzymatic proteins are discussed.

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Year:  2003        PMID: 12662930     DOI: 10.1016/s0022-2836(03)00207-9

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  33 in total

1.  Real-time ligand binding pocket database search using local surface descriptors.

Authors:  Rayan Chikhi; Lee Sael; Daisuke Kihara
Journal:  Proteins       Date:  2010-07

2.  Automated prediction of protein function and detection of functional sites from structure.

Authors:  Florencio Pazos; Michael J E Sternberg
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-29       Impact factor: 11.205

3.  Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation.

Authors:  A D Wilkins; R Lua; S Erdin; R M Ward; O Lichtarge
Journal:  Protein Sci       Date:  2010-07       Impact factor: 6.725

4.  Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease.

Authors:  Fuxiao Xin; Steven Myers; Yong Fuga Li; David N Cooper; Sean D Mooney; Predrag Radivojac
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

5.  Evaluation of features for catalytic residue prediction in novel folds.

Authors:  Eunseog Youn; Brandon Peters; Predrag Radivojac; Sean D Mooney
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

6.  Structure-based identification of catalytic residues.

Authors:  Ran Yahalom; Dan Reshef; Ayana Wiener; Sagiv Frankel; Nir Kalisman; Boaz Lerner; Chen Keasar
Journal:  Proteins       Date:  2011-04-12

7.  Enhanced performance in prediction of protein active sites with THEMATICS and support vector machines.

Authors:  Wenxu Tong; Ronald J Williams; Ying Wei; Leonel F Murga; Jaeju Ko; Mary Jo Ondrechen
Journal:  Protein Sci       Date:  2007-12-20       Impact factor: 6.725

8.  HotPatch: a statistical approach to finding biologically relevant features on protein surfaces.

Authors:  Frank K Pettit; Emiko Bare; Albert Tsai; James U Bowie
Journal:  J Mol Biol       Date:  2007-03-21       Impact factor: 5.469

9.  Common physical basis of macromolecule-binding sites in proteins.

Authors:  Yao Chi Chen; Carmay Lim
Journal:  Nucleic Acids Res       Date:  2008-11-06       Impact factor: 16.971

10.  SitesIdentify: a protein functional site prediction tool.

Authors:  Tracey Bray; Pedro Chan; Salim Bougouffa; Richard Greaves; Andrew J Doig; Jim Warwicker
Journal:  BMC Bioinformatics       Date:  2009-11-18       Impact factor: 3.169

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